My question is, if classical probability approach is used for equaly likely events then why hypergeometric distribution uses this approach where the events are not equaly likely and probability of success isn't fixed.
It seems if you’ve answered your own question within the question. Since probability isn’t equally likely, the same method can not be used. Or perhaps I’m not understanding the question. Otherwise, I would’ve responded with, The probability is changing due to sampling without replacement. But I’m guessing you’re asking the question related to a specific course set or topic that was discussed. So it might be specific to the context of what you’re studying.
Very good explanation on the statistics part of it, but might I suggest (without meaning to sound rude or insensitive) that you consider looking through the manual for the calculator in order to "get to know your tool", so to speak ? Just skim the statistics part of the manual, if anything, to see what functions the calculator supports, if that is what you primarily use it for. Also, FYI, the tip from bobish101 about the Binomialpdf function also works on the TI-30X Pro Mathprint (in case you have any students that should happen to have bought this calculator). The button sequence is the exact same.
Hi, sorry to not get back to you sooner. Although I don’t know the right way, I came up with a makeshift way. Once you see an answer with pie, you can hit the second button and the right parentheses to turn the number into a percent. But then you would need to multiply by 100 to the decimal is in the correct location. For example, if you get 50pi, hit “2nd” then “)”. You’ll see 15707.96…%, now move the decimal 2 places to the left to get 157.0786…. You know this is right since 50x3.14 = 157
Hi, thanks for your question. The number before the plus or minus should not be negative on a proportion. It could be for a mean, but not a standard deviation. If you have a negative sample mean, you would still add and subtract the margin of error. But be sure for confidence intervals to always list the smaller number first.
True, but then you would need to hit it every time if you only want decimals. So, if you want decimals without hitting that extra button, this is how to get there! 😁
Because alpha, the significance level, is .01, and it is a left tail test, I went to the Z table and looked for .01 which is equivalent to .0100 in the middle of the Z table. This figure was closest to row -2.3 column .03. Otherwise you could’ve used the invernorm feature on a TI 84.
Hi, I don’t think you can. I kept meaning to go and look to see if there is a way to get more information but keep forgetting. I don’t believe it’s a built-in function on this calculator.